5.0 - 10.0 years

20 - 30 Lacs

Hyderabad, Pune, Bengaluru

Hybrid

Strong understating of Python, ML concepts and frameworks, Fast API, Graph QL Experience in developing scalable APIs. Knowledge of AWS, preferred services are storage, EC2, Kubernetes Exposure of ML best practices, documentation and unit testing. ML Flow, AirFlow, ML pipeline creation, drift monitoring and control Experience in developing and deploying machine learning models in a production environment using CI/CD. Communicate with clients to understand requirements and ask right questions. Knowledge of Django and database design will be added advantage. Strong analytical and problem-solving skills. Standards : Model Deployment Standards Use standardized APIs (e.g., RESTful) to interface with models Implement model versioning and proper naming conventions Monitoring and Maintenance Schedule routine model retraining and monitoring Code Quality Standards Follow style guides (e.g., PEP 8 in Python) Write comprehensive debugging and tests

Posted 1 week ago

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Senior Data Engineer Qubiqon Consulting India

5.0 - 8.0 years

5 - 15 Lacs

Kochi

Work from Office

Job Summary: We are looking for a seasoned Data Engineer with 58 years of experience, specializing in Microsoft Fabric. The ideal candidate will play a key role in designing, building, and optimizing scalable data pipelines and models. You will work closely with analytics and business teams to drive data integration, ensure quality, and support data-driven decision-making in a modern cloud environment. Key Responsibilities: Design, develop, and optimize end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2). Create and maintain data models , semantic models , and data marts for analytical and reporting purposes. Develop and manage SQL-based ETL processes , integrating various structured and unstructured data sources. Collaborate with BI developers and analysts to develop Power BI datasets, dashboards, and reports. Implement robust data integration solutions across diverse platforms and sources (on-premises, cloud). Ensure data integrity, quality, and governance through automated validation and error handling mechanisms. Work with business stakeholders to understand data requirements and translate them into technical specifications. Optimize data workflows for performance and cost-efficiency in a cloud-first architecture. Provide mentorship and technical guidance to junior data engineers. Required Skills: Strong hands-on experience with Microsoft Fabric , including Dataflows Gen2, Pipelines, and OneLake. Proficiency in Power BI , including building reports, dashboards, and working with semantic models. Solid understanding of data modeling techniques : star schema, snowflake, normalization/denormalization. Deep experience with SQL , stored procedures, and query optimization. Experience in data integration from diverse sources such as APIs, flat files, databases, and streaming data. Knowledge of data governance , lineage , and data catalog capabilities within the Microsoft ecosystem.

Posted 3 weeks ago

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